Evidence map›Paper›PMID 30423915›Full record

ReviewCancers2018

Recent Studies on Ponatinib in Cancers Other Than Chronic Myeloid Leukemia.

Francesca Musumeci, Chiara Greco, Giancarlo Grossi, Alessio Molinari, Silvia Schenone

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 39 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Francesca MusumeciDepartment of Pharmacy, University of Genova, Viale Benedetto XV 3, 16132 Genova, Italy. francesca.musumeci@unige.it.
Chiara GrecoDepartment of Pharmacy, University of Genova, Viale Benedetto XV 3, 16132 Genova, Italy. greco.phd@difar.unige.it.
Giancarlo GrossiDepartment of Pharmacy, University of Genova, Viale Benedetto XV 3, 16132 Genova, Italy. grossig@unige.it.
Alessio MolinariDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro 2, 53100 Siena, Italy. molinari.a2@gmail.com.
Silvia SchenoneDepartment of Pharmacy, University of Genova, Viale Benedetto XV 3, 16132 Genova, Italy. schenone@difar.unige.it.
University of Genoa · ITUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ponatinib is a third line drug for the treatment of chronic myeloid leukemia patients, especially those that develop the gatekeeper mutation T315I, which is resistant to the first and the second line drugs imatinib, nilotinib, dasatinib and bosutinib. The compound was first identified as a pan Bcr-Abl and Src kinase inhibitor. Further studies have indicated that it is a multitargeted inhibitor that is active on FGFRs, RET, AKT, ERK1/2, KIT, MEKK2 and other kinases. For this reason, the compound has been evaluated on several cancers in which these kinases play important roles, including thyroid, breast, ovary and lung cancer, neuroblastoma, rhabdoid tumours and in myeloproliferative disorders. Ponatinib is also being tested in clinical trials to evaluate its activity in FLT3-ITD acute myelogenous leukemia, head and neck cancers, certain type of lung cancer, gastrointestinal stromal tumours and other malignancies. In this review we report the most recent preclinical and clinical studies on ponatinib in cancers other than CML, with the aim of giving a complete overview of this interesting compound.

Indexed as

cancerponatinibprotein kinase inhibitor

Identifiers

PMID30423915
PMCPMC6267038
OpenAlexW2900121309

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.